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correct a bug with linux 64bit system. A 'C' thread function needed a long and python arg passing default to int. Forced to long wiht ctypes.c_long()
correct a bug with linux 64bit system. A 'C' thread function needed a long and python arg passing default to int. Forced to long wiht ctypes.c_long()

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wildcard.py
149 lines | 5.9 KiB | text/x-python | PythonLexer
# -*- coding: utf-8 -*-
"""Support for wildcard pattern matching in object inspection.
Authors
-------
- Jörgen Stenarson <jorgen.stenarson@bostream.nu>
"""
#*****************************************************************************
# Copyright (C) 2005 Jörgen Stenarson <jorgen.stenarson@bostream.nu>
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
#*****************************************************************************
import __builtin__
import exceptions
import pdb
import pprint
import re
import types
from IPython.genutils import dir2
def create_typestr2type_dicts(dont_include_in_type2type2str=["lambda"]):
"""Return dictionaries mapping lower case typename to type objects, from
the types package, and vice versa."""
typenamelist=[]
for tname in dir(types):
if tname[-4:]=="Type":
typenamelist.append(tname)
typestr2type={}
type2typestr={}
for tname in typenamelist:
name=tname[:-4].lower()
obj=getattr(types,tname)
typestr2type[name]=getattr(types,tname)
if name in dont_include_in_type2type2str:
type2typestr[obj]=name
return typestr2type,type2typestr
typestr2type,type2typestr=create_typestr2type_dicts()
def is_type(obj,typestr_or_type):
"""is_type(obj,typestr_or_type) verifies if obj is of a certain type or
group of types takes strings as parameters of the for 'tuple'<->TupleType
'all' matches all types. TODO: Should be extended for choosing more than
one type
"""
if typestr_or_type=="all":
return True
if type(typestr_or_type)==types.TypeType:
test_type=typestr_or_type
else:
test_type=typestr2type.get(typestr_or_type,False)
if test_type:
return isinstance(obj,test_type)
else:
return False
def show_hidden(str,show_all=False):
"""Return true for strings starting with single _ if show_all is true."""
return show_all or str.startswith("__") or not str.startswith("_")
class NameSpace(object):
"""NameSpace holds the dictionary for a namespace and implements filtering
on name and types"""
def __init__(self,obj,name_pattern="*",type_pattern="all",ignore_case=True,
show_all=True):
self.show_all = show_all #Hide names beginning with single _
self.object = obj
self.name_pattern = name_pattern
self.type_pattern = type_pattern
self.ignore_case = ignore_case
# We should only match EXACT dicts here, so DON'T use isinstance()
if type(obj) == types.DictType:
self._ns = obj
else:
kv = []
for key in dir2(obj):
if isinstance(key, basestring):
# This seemingly unnecessary try/except is actually needed
# because there is code out there with metaclasses that
# create 'write only' attributes, where a getattr() call
# will fail even if the attribute appears listed in the
# object's dictionary. Properties can actually do the same
# thing. In particular, Traits use this pattern
try:
kv.append((key,getattr(obj,key)))
except AttributeError:
pass
self._ns = dict(kv)
def get_ns(self):
"""Return name space dictionary with objects matching type and name patterns."""
return self.filter(self.name_pattern,self.type_pattern)
ns=property(get_ns)
def get_ns_names(self):
"""Return list of object names in namespace that match the patterns."""
return self.ns.keys()
ns_names=property(get_ns_names,doc="List of objects in name space that "
"match the type and name patterns.")
def filter(self,name_pattern,type_pattern):
"""Return dictionary of filtered namespace."""
def glob_filter(lista,name_pattern,hidehidden,ignore_case):
"""Return list of elements in lista that match pattern."""
pattern=name_pattern.replace("*",".*").replace("?",".")
if ignore_case:
reg=re.compile(pattern+"$",re.I)
else:
reg=re.compile(pattern+"$")
result=[x for x in lista if reg.match(x) and show_hidden(x,hidehidden)]
return result
ns=self._ns
#Filter namespace by the name_pattern
all=[(x,ns[x]) for x in glob_filter(ns.keys(),name_pattern,
self.show_all,self.ignore_case)]
#Filter namespace by type_pattern
all=[(key,obj) for key,obj in all if is_type(obj,type_pattern)]
all=dict(all)
return all
#TODO: Implement dictionary like access to filtered name space?
def list_namespace(namespace,type_pattern,filter,ignore_case=False,show_all=False):
"""Return dictionary of all objects in namespace that matches type_pattern
and filter."""
pattern_list=filter.split(".")
if len(pattern_list)==1:
ns=NameSpace(namespace,name_pattern=pattern_list[0],type_pattern=type_pattern,
ignore_case=ignore_case,show_all=show_all)
return ns.ns
else:
# This is where we can change if all objects should be searched or
# only modules. Just change the type_pattern to module to search only
# modules
ns=NameSpace(namespace,name_pattern=pattern_list[0],type_pattern="all",
ignore_case=ignore_case,show_all=show_all)
res={}
nsdict=ns.ns
for name,obj in nsdict.iteritems():
ns=list_namespace(obj,type_pattern,".".join(pattern_list[1:]),
ignore_case=ignore_case,show_all=show_all)
for inner_name,inner_obj in ns.iteritems():
res["%s.%s"%(name,inner_name)]=inner_obj
return res